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Ontology Based Data Access with Referring Expressions for Logics with the Tree Model Property

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9992))

Abstract

Certain answer computation for a query has usually entailed the search for constants as substitutions for the query variables that make the query logically entailed by a knowledge base. Such constants are simple examples of referring expressions, that is, syntactic artifacts that identity objects in an underlying domain. In earlier work, we have begun to explore how more general referring expressions can be used to allow more descriptive and useful object identification. In this paper, we present a novel approach to ontology based data access in this more general setting for logics with the so-called tree model property. The proposed solution remedies a problem with our earlier work in certain answer computation with referring expressions in which a process of extending the knowledge base with new constants and assertions that depended on a particular query is required.

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Notes

  1. 1.

    Using “\(\sqsubseteq \)” in this way is standard DL notation for expressing set containment of concepts. E.g., for any pair of referring expressions \(E_1\) and \(E_2\), we write \(E_1 \sqsubseteq E_2\) as shorthand for the boolean formula \(\forall x. (E_1(x) \rightarrow E_2(x))\).

  2. 2.

    To simplify the notation we allow ground terms representing the referring expressions to be bound to query variables.

  3. 3.

    A type assignment is weakly identifying when an ontology \(\mathcal{T}\) ensures all referring expressions E occurring in certain R-answers are interpreted as singleton sets; see [1] for the full development.

References

  1. Borgida, A., Toman, D., Weddell, G.: On referring expressions in query answering over first order knowledge bases. In: Principles of Knowledge Representation and Reasoning, pp. 319–328 (2016)

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  2. St. Jacques, J., Toman, D., Weddell, G.E.: Object-relational queries over \(\cal{CFDI}_{nc}\) knowledge bases: OBDA for the SQL-Literate. In: Proceedings of International Joint Conference on Artificial Intelligence, IJCAI, pp. 1258–1264 (2016)

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  3. Toman, D., Weddell, G.: On adding inverse features to the description logic \({\cal{CFD}}^{\forall }_{nc}\). In: Pham, D.-N., Park, S.-B. (eds.) PRICAI 2014. LNCS (LNAI), vol. 8862, pp. 587–599. Springer, Heidelberg (2014). doi:10.1007/978-3-319-13560-1_47

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Correspondence to David Toman .

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Toman, D., Weddell, G. (2016). Ontology Based Data Access with Referring Expressions for Logics with the Tree Model Property. In: Kang, B.H., Bai, Q. (eds) AI 2016: Advances in Artificial Intelligence. AI 2016. Lecture Notes in Computer Science(), vol 9992. Springer, Cham. https://doi.org/10.1007/978-3-319-50127-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-50127-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50126-0

  • Online ISBN: 978-3-319-50127-7

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